Pytorch Jobs
Pytorch is a powerful and versatile open-source deep learning library that emphasizes maximum flexibility and dynamic graphs. It allows developers to build complex neural network architectures, and implement state-of-the-art algorithms such as natural language processing (NLP) and computer vision. In addition, it can be used to train and deploy deep learning models such as recognition systems, recommendations, speech processing, time series forecasting and more. A Pytorch Expert can design custom models, optimize performance and deploy production-level applications.
Here’s some projects that our Pytorch Experts made real:
- Video emotion detection
- Convolutional LSTM Autoencoders
- Neural Network mathematical function autograd
- Computer Vision projects with YOLO, OpenCV and PyTorch
- 3D reconstruction
- Deep Fake video face swap web apps
- Compressing Neural Networks with Pruning and Quantization
- C++ inference for YOLOv7 with OpenCV
- Basic neural network Python code check
The Pytorch ecosystem of libraries provides the resources to prototype, optimize, debug and deploy applications quickly. Through our team of experienced Pytorch specialists, Freelancer is equipped to help you build production ready software across a wide range of problem domains. With a combination of world class expertise and user friendly support, you can be up and running with your custom application in no time. So why wait? Post your project now and hire the perfect Pytorch Expert on Freelancer.com.
From 8,110 reviews, clients rate our Pytorch Experts 4.84 out of 5 stars.Hire Pytorch Experts
I need to preprocess the given dataset and implement a CNN model using tensorflow and a Transformer model using pytorch. The models need to have good accuracy forecasting the meal carbohydrates using glucose level values.
We are using SD + Automatic1111 in a new project, and, we have a technical challenge to solve. If you are an Stable Diffusion expert, we would be delighted if you apply to this proyect!
I need to do classification tasks using image and metadata in Python using Pytorch in Google collaboration I need to do two main tasks: One for running the first code in Google Collaboration (used for feature extractions and classification) Second merge this first code with the second that was already run in Google Collaboration (used for merging the image features with metadata) just need to change the model used with the first code The dataset used was embedded in the second code Thanks
I want classification and single image prediction on 3 models - Densenet , Condensenet and CondensenetV2. All of the codes will be provided from github .
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